Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.

Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical ...

M ore than a decade ago, the economist Erik Brynjolfsson made a prediction: AI would change everything. Humans began using ...

VS Code can use LLM models other than GitHub Copilot’s built-in providers for AI-assisted development, including local and ...

Tomato production is a crucial component of the agricultural sector in Asian countries. Accurate forecasting of tomato production is essential for effective agricultural planning, resource allocation, ...

3 King’s College Hospital NHS Foundation Trust, London, UK 4 Great Western Hospital NHS Foundation Trust, Swindon, UK 5 Department of Inflammation Biology, King’s College London, London, UK 6 Centre ...

I don't discount my 1-on-1 coaching services very often, but I've been pinged many times from professionals who: Are interested in registering for my new machine learning forecasting online course ...

This project provides a modern, well-structured implementation of hierarchical time series forecasting methods. It supports various forecasting algorithms (ARIMA, Prophet, LSTM) and reconciliation ...

Objectives To project the future burden of cancer mortality in India by forecasting age-standardised mortality rates (ASMRs) for 23 major cancer types up to the year 2030, providing crucial evidence ...

Currently using data science in industry to solve complex problems in distributed systems design, cloud computing, and disaster readiness for online services. I completed a graduate degree in Computer ...

Have you ever imagined predicting your company’s revenue for the coming months based on past data? This is the power of time series forecasting, which analyzes data organized chronologically, such as ...